DocumentCode :
2299896
Title :
DNA-sequence analysis using Markov chain models
Author :
Ryabko, Boris ; Usotskaya, Natalie
Author_Institution :
Inst. of Comput. Technol., Siberian Univ. of Telecommun. & Inf., Novosibirsk
fYear :
2008
fDate :
5-9 May 2008
Firstpage :
119
Lastpage :
123
Abstract :
The statistical structure of DNA-sequences is of a great interest to molecular biology, genetics and the theory of evolution (see Chen and others, GIW-99, 1999, Aktulga and others, EURASIP J. of Bioinformatics and Systems Biology, 2007, Li, Computers and Chemistry , 1997). One of the approaches is a sequence modeling using Markov processes of different orders, and further statistical estimation of their parameters (see Simons and others, JSPI , 2005). In this paper we use firstly the test for the serial independence from Ryabko, Astola (Stat. Methodology, 2006) to estimate the ldquomemoryrdquo (or connectivity) of genetic texts and secondly we apply the homogeneity test for solving the DNA-based problem connected to the phylogenetic system of various organisms.
Keywords :
DNA; biology computing; genetic engineering; DNA-sequence analysis; Markov chain; Markov processes; genetic texts; molecular biology; phylogenetic system; statistical estimation; Bioinformatics; Biological system modeling; Biology computing; Chemistry; DNA computing; Evolution (biology); Genetics; Markov processes; Sequences; Systems biology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Theory Workshop, 2008. ITW '08. IEEE
Conference_Location :
Porto
Print_ISBN :
978-1-4244-2269-2
Electronic_ISBN :
978-1-4244-2271-5
Type :
conf
DOI :
10.1109/ITW.2008.4578634
Filename :
4578634
Link To Document :
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